Global Director of Data Operations

• Strategy & Leadership: Develop and execute the global data operations strategy, aligning with company goals and client needs in the robotics/AI ecosystem.
• End-to-End Process Ownership: Oversee the entire data pipeline: planning collection campaigns, managing annotation workflows, implementing quality control systems, and ensuring timely dataset delivery.
• Team & Vendor Management: Build and lead a hybrid team of internal specialists and external vendors. Set performance metrics, conduct reviews, and foster a culture of quality and efficiency.
• Quality & Scale: Design and implement systems to scale operations while maintaining stringent data quality standards for model training. Establish key performance indicators (KPIs) for throughput, accuracy, and cost.
• Cross-functional Collaboration: Act as the primary operations liaison for US-based clients, engineering, and product teams. Communicate requirements, report on progress, and drive process improvements based on feedback.
• Budget & Compliance: Manage the regional operations budget. Ensure all data collection and handling practices comply with relevant regional regulations and ethical guidelines.
• Proven Track Record: Success in building, scaling, and optimizing complex operational processes in a fast-paced environment.
• Leadership: Strong leadership and team management skills, with an ownership mindset to drive projects and targets.
• Technical Acumen: Ability to understand technical requirements for robotics data (sensors, modalities, formats). Experience with data QA tools, basic scripting (Python), or project management software is a strong plus.
• Communication: Excellent verbal and written communication skills, with the ability to manage stakeholders at all levels.
• MBA or advanced degree.
• Experience managing distributed or remote teams.
• Network within the US robotics and AI research community.
• Paid holidays

None flagged.